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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 perspectives on data warehousing olap

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Human Resources (HR)

Human Resources encompasses all the applications necessary for handling personnel-related tasks for corporate managers and individual employees.  Modules will include Personnel Management, Benefit Management, Payroll Management, Employee Self Service, Data Warehousing and Health & Safety.  

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Documents related to » perspectives on data warehousing olap

Best Practices for a Data Warehouse on Oracle Database 11g


Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

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Reporting Tools


Analysis and reporting services are an important part of the enterprise resource planning process. Microsoft Dynamics NAV has been designed to give users options for optimal analysis and reporting, and to leave room for partners to provide customized solutions. With the correct reporting tools and Microsoft Dynamics NAV, practical analysis and reporting is available and adaptable to individual users’ needs.

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Business Intelligence Status Report


Spurred by government mandates for more business transparency, business intelligence has emerged to extract information from ERP systems. How has BI emerged? What does the terminology surrounding it mean, and what is its current state of affairs?

perspectives on data warehousing olap  business information from multiple perspectives. Users are able to perform multi-dimensional analysis, slice-and-dice data sets, and drill-down to additional detail, all using integrated OLAP technology, whose analytical functionality should ideally be available whether users are connected to the Internet, through a mobile, or are working off-line. Data warehousing also led to the development of the concept of metadata management, whereby metadata is data about data, such as table and column names, and Read More

Business Intelligence: A Guide for Midsize Companies


Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex information to support their decision-making processes, combining data from a variety of sources to get an integrated, 360-degree view of the company. Find out how to select the right BI software, the right vendor, and the right approach to implementing BI.

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Contemporary Business Intelligence and Its Main Components


Business intelligence (BI) represents the tools and systems that play a key role in the strategic planning process by allowing a company to manipulate corporate data for decision-making. But what exactly are the primary components of BI?

perspectives on data warehousing olap  and innovation and learning perspectives that formally connect overall objectives, strategies, and measurements (since each dimension may have goals and measurements). To make a clear difference between dashboards and scorecards (the terms are often confused or used interchangeably), a dashboard is a digital cockpit that produces a snapshot of a moment in time, which can be drilled through. Scorecarding is the process of comparing actual results to target results, and of discerning trends over a period Read More

Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help.

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Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses


To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available when you need them.

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Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

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BI: On Demand, On Premise, Open Source, or Outsourced?


On-premise or on-demand, business intelligence (BI) solutions can help businesses become more intelligent about key processes. But what are the benefits to implementing cloud-based BI over traditional software? Are on-demand BI applications as popular in the enterprise as they are with midmarket companies? And what are some reasons people don’t outsource BI? Find out the answers to these questions and more. Download this guide now.

perspectives on data warehousing olap  On Demand, On Premise, Open Source, or Outsourced? On-premise or on-demand, business intelligence (BI) solutions can help businesses become more intelligent about key processes. But what are the benefits to implementing cloud-based BI over traditional software? Are on-demand BI applications as popular in the enterprise as they are with midmarket companies? And what are some reasons people don’t outsource BI? Find out the answers to these questions and more. Download this guide now. Read More

How to Calculate the Return on Investment (ROI) On a Digital Signature Solution


More and more companies are implementing digital signature solutions, allowing a completely electronic workflow, from document creation through to its signing, archiving, and auditing. You no longer have to interrupt your streamlined electronic processes by reintroducing paper into the workflow. This white paper will help you establish the return on investment (ROI) that your organization can achieve by deploying a digital signature solution. Also included is a chart summarizing the figures you need in order to calculate your own ROI.

perspectives on data warehousing olap  to Calculate the Return on Investment (ROI) On a Digital Signature Solution More and more companies are implementing digital signature solutions, allowing a completely electronic workflow, from document creation through to its signing, archiving, and auditing. You no longer have to interrupt your streamlined electronic processes by reintroducing paper into the workflow. This white paper will help you establish the return on investment (ROI) that your organization can achieve by deploying a digital Read More

Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

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Six Steps to Manage Data Quality with SQL Server Integration Services


Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

perspectives on data warehousing olap  Steps to Manage Data Quality with SQL Server Integration Services Melissa Data''s Data Quality Suite operates like a data quality firewall '' instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : Read More

Single Sign-on (SSO): Truths and Myths


Technology products always seem to come out strong, and then wither under intense scrutiny. This was the case with single sign-on (SSO). However, any product driven by strong need will reinvent itself to address the problems it contains. With SSO, a number of myths have now been exploded. Find out why it may be time for you to evaluate SSO for your company. Myth #1: You can’t get true SSO.

perspectives on data warehousing olap  users to get their perspectives on four key issues surrounding SSO: Can we really attain true SSO? Does SSO increase or decrease risk? Can we attain ROI from SSO? Is customer regret the exception or the norm? These are the pertinent questions that keep SSO at bay in some organizations. Introducing the Companies With the help of Imprivata, Spire Security identified SSO users and interviewed them about their deployments of SSO within their enterprises. The benefit is clear – real organizations will weigh Read More

The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers


The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to changing requirements, support high and variable power density, and reduce power consumption and other operating costs. Find out how row- and rack-oriented cooling architectures reduce total cost of ownership (TCO), and address the needs of next-generations data centers.

perspectives on data warehousing olap  Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers The Advantages of Row and Rack-Oriented Cooling Architectures for Data Centers If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today''s always on, always available world where businesses can''t stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware Read More

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

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